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» A framework for remote dynamic program optimization
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CASES
2007
ACM
13 years 11 months ago
An efficient framework for dynamic reconfiguration of instruction-set customization
We present an efficient framework for dynamic reconfiguration of application-specific custom instructions. A key component of this framework is an iterative algorithm for temporal...
Huynh Phung Huynh, Joon Edward Sim, Tulika Mitra
ICFP
2008
ACM
14 years 7 months ago
Write it recursively: a generic framework for optimal path queries
Optimal path queries are queries to obtain an optimal path specified by a given criterion of optimality. There have been many studies to give efficient algorithms for classes of o...
Akimasa Morihata, Kiminori Matsuzaki, Masato Takei...
ICML
1996
IEEE
14 years 8 months ago
Sensitive Discount Optimality: Unifying Discounted and Average Reward Reinforcement Learning
Research in reinforcementlearning (RL)has thus far concentrated on two optimality criteria: the discounted framework, which has been very well-studied, and the averagereward frame...
Sridhar Mahadevan
ICS
2007
Tsinghua U.
14 years 1 months ago
Performance driven data cache prefetching in a dynamic software optimization system
Software or hardware data cache prefetching is an efficient way to hide cache miss latency. However effectiveness of the issued prefetches have to be monitored in order to maximi...
Jean Christophe Beyler, Philippe Clauss
ATMOS
2007
177views Optimization» more  ATMOS 2007»
13 years 9 months ago
Approximate dynamic programming for rail operations
Abstract. Approximate dynamic programming offers a new modeling and algorithmic strategy for complex problems such as rail operations. Problems in rail operations are often modeled...
Warren B. Powell, Belgacem Bouzaïene-Ayari